【摘 要】
：
This study considers the multivariate alarm design problem of nonlinear time-varying systems by a Bayesian belief-rule-based(BRB)method.In the method,the series of belief rules are constructed to approximate the relationship between input and output varia
【机 构】
：
School of Automation,Hangzhou Dianzi University,Hangzhou 310018,China;College of Metrology and Measu
论文部分内容阅读
This study considers the multivariate alarm design problem of nonlinear time-varying systems by a Bayesian belief-rule-based(BRB)method.In the method,the series of belief rules are constructed to approximate the relationship between input and output variables.Hence,the method does not require an explicit model structure and is suitable for capturing nonlinear causal relationships between variables.For the purpose of online application,this study further introduces sequential Monte Carlo(SMC)sampling to update the BRB model parameters,which is a fast and efficient method for approximately inferring nonlinear sequence models.Using the model parameters obtained by SMC sampling,the series of output variable tracking errors can be estimated and employed for multivariate alarm design.The case study of a condensate pump verifies the effectiveness of the proposed method.
其他文献
Geophysics offers an important means to investigate the physical processes occurring inside the earth.In particular,since the 1960s,electromagnetic(EM)methods have played important roles in mineral exploration and engineering in-vestigation.Such investiga
In cell-free massive multiple-input multiple-output(MIMO)orthogonal frequency division mul-tiplexing(OFDM)systems,user equipments(UEs)are served by many distributed access points(APs),where channels are correlated owing to finite angle-delay spread in rea
The classical proportional-integral-derivative (PID) controller is ubiquitous in engineering sys-tems that are typically nonlinear with various uncertainties,including random noise.However,most of the literature on PID control focused on linear determinis
Many real-world optimization problems involve multiple conflicting objectives.Such problems are called multiobjective optimization problems(MOPs).Typically,MOPs have a set of so-called Pareto optimal solutions rather than one unique optimal solution.To as
In the rational cryptographic protocol,the two rational players often fall into the prisoner\'s dilemma,which is also the case for the rational secret sharing we consider in this paper.First,it is proved that rational secret sharing has a sequential equ
Full-duplex(FD)two-way relaying has the potential to substantially improve the spectral effi-ciency of the system,and is regarded as an enabling technology for the next generation wireless communication systems.Nevertheless,the joint effect of residual in
The high-accuracy drag-free control is one of the key technologies for gravity gradient satellites.Since the range of the gravity gradiometer is limited,the measurement is subject to the saturation constraint.This paper introduces a design method of the a
With the emergence of AI technologies,intrinsic value of data is released and takes tremendous effects on numerous industries.In the context of regional medical care,data sharing and cooperating is in high demand,which can bring both financial and societa
Applying an event-triggered protocol,this paper proposes a distributed H∞ filter design for nonlinear perturbed systems under fading measurements with random topology.Nonlinearities in this system obey the one-sided Lipschitz constraint,which embraces the
The exploration for greater computing power has existed for a long time.Since the 1960s,transistors in modern elec-tronic computers have kept advancing following Moore\'s law.However,as silicon transistors continue to scale down,they face challenges suc